Optimal sliding mode Gaussian controller for hydropower plant with grid dynamics

Benjamin Rittenhouse; Alok Sinha

doi:10.1115/DSCC2013-3926

Optimal sliding mode Gaussian controller for hydropower plant with grid dynamics

Benjamin Rittenhouse, Alok Sinha

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

This paper examines the performance of an optimal sliding mode Gaussian (OSG) controller for the regulation of a hydropower plant implemented in the modeling program SIMSEN. The controller is designed to regulate grid frequency and includes the dynamics of the wicket gate servo system, turbine, and grid. Simulation results for OSG control are compared to those of more traditional LQG and PI controllers. Simulation shows that OSG control provides superior performance for the nominal system and for the system with parametric uncertainties.

Original language	English (US)
Title of host publication	Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing;
Publisher	American Society of Mechanical Engineers (ASME)
Volume	3
ISBN (Print)	9780791856147
DOIs	https://doi.org/10.1115/DSCC2013-3926
State	Published - Jan 1 2013
Event	ASME 2013 Dynamic Systems and Control Conference, DSCC 2013 - Palo Alto, CA, United States Duration: Oct 21 2013 → Oct 23 2013

Other

Other	ASME 2013 Dynamic Systems and Control Conference, DSCC 2013
Country/Territory	United States
City	Palo Alto, CA
Period	10/21/13 → 10/23/13

All Science Journal Classification (ASJC) codes

Control and Systems Engineering

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10.1115/DSCC2013-3926

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Rittenhouse, B., & Sinha, A. (2013). Optimal sliding mode Gaussian controller for hydropower plant with grid dynamics. In Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing; (Vol. 3). Article V003T44A003 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DSCC2013-3926

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abstract = "This paper examines the performance of an optimal sliding mode Gaussian (OSG) controller for the regulation of a hydropower plant implemented in the modeling program SIMSEN. The controller is designed to regulate grid frequency and includes the dynamics of the wicket gate servo system, turbine, and grid. Simulation results for OSG control are compared to those of more traditional LQG and PI controllers. Simulation shows that OSG control provides superior performance for the nominal system and for the system with parametric uncertainties.",

author = "Benjamin Rittenhouse and Alok Sinha",

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doi = "10.1115/DSCC2013-3926",

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Rittenhouse, B & Sinha, A 2013, Optimal sliding mode Gaussian controller for hydropower plant with grid dynamics. in Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing;. vol. 3, V003T44A003, American Society of Mechanical Engineers (ASME), ASME 2013 Dynamic Systems and Control Conference, DSCC 2013, Palo Alto, CA, United States, 10/21/13. https://doi.org/10.1115/DSCC2013-3926

Optimal sliding mode Gaussian controller for hydropower plant with grid dynamics. / Rittenhouse, Benjamin; Sinha, Alok.
Nonlinear Estimation and Control; Optimization and Optimal Control; Piezoelectric Actuation and Nanoscale Control; Robotics and Manipulators; Sensing;. Vol. 3 American Society of Mechanical Engineers (ASME), 2013. V003T44A003.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - This paper examines the performance of an optimal sliding mode Gaussian (OSG) controller for the regulation of a hydropower plant implemented in the modeling program SIMSEN. The controller is designed to regulate grid frequency and includes the dynamics of the wicket gate servo system, turbine, and grid. Simulation results for OSG control are compared to those of more traditional LQG and PI controllers. Simulation shows that OSG control provides superior performance for the nominal system and for the system with parametric uncertainties.

AB - This paper examines the performance of an optimal sliding mode Gaussian (OSG) controller for the regulation of a hydropower plant implemented in the modeling program SIMSEN. The controller is designed to regulate grid frequency and includes the dynamics of the wicket gate servo system, turbine, and grid. Simulation results for OSG control are compared to those of more traditional LQG and PI controllers. Simulation shows that OSG control provides superior performance for the nominal system and for the system with parametric uncertainties.

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Y2 - 21 October 2013 through 23 October 2013

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Optimal sliding mode Gaussian controller for hydropower plant with grid dynamics

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